Despite the rich literature on machine learning fairness, relatively lit...
Building trustworthy, effective, and responsible machine learning system...
A common approach for testing fairness issues in text-based classifiers ...
Robustness to certain distribution shifts is a key requirement in many M...
NLP models are shown to suffer from robustness issues, i.e., a model's
p...
We consider the problem of parameter estimation using weakly supervised
...